Data Engineer

Fixity Technologies
Richardson, TX, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Airflow Data Analysis Extract Transform Load (ETL) Data Warehousing Database Design Python (Programming Language) Software Engineering SQL Databases Tableau (Software) Data Processing Data Ingestion
+3 more
Snowflake Apache Spark Databricks

Requirements

5+ years of relevant work experience in a team-focused environment

Independently develop software primarily to support the Extract, Transform, and Load (ETL) functionality for loading data to a data warehouse allowing business analysts and functional leaders to action business decisions based on that data.

In depth knowledge of Spark and its working

Write software using Python and Spark to automate data ingestion and data processing into the Analytical Data Warehouse.

Hands on experience using Python and Java

In-depth knowledge of relational and columnar SQL databases, including database design

Hands-on experience in Databricks, Airflow, Snowflake, Tableau

Excellent communications skills and the ability to work with subject matter expert to extract critical business concepts

Strong work ethic, a sense of ownership and urgency

Strong analytical and problem solving skills

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Introduction to analytical data formats for software developers

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

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Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Executing LoRA fine-tuning using serverless Databricks AI runtimes

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